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A method to predict breast cancer stage using Medicare claims

Overview of attention for article published in Epidemiologic Perspectives & Innovations, January 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)

Mentioned by

news
1 news outlet
blogs
1 blog

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
32 Mendeley
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Title
A method to predict breast cancer stage using Medicare claims
Published in
Epidemiologic Perspectives & Innovations, January 2010
DOI 10.1186/1742-5573-7-1
Pubmed ID
Authors

Grace L Smith, Ya-Chen T Shih, Sharon H Giordano, Benjamin D Smith, Thomas A Buchholz

Abstract

In epidemiologic studies, cancer stage is an important predictor of outcomes. However, cancer stage is typically unavailable in medical insurance claims datasets, thus limiting the usefulness of such data for epidemiologic studies. Therefore, we sought to develop an algorithm to predict cancer stage based on covariates available from claims-based data.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 25%
Other 3 9%
Student > Ph. D. Student 3 9%
Student > Master 3 9%
Student > Doctoral Student 1 3%
Other 5 16%
Unknown 9 28%
Readers by discipline Count As %
Medicine and Dentistry 10 31%
Nursing and Health Professions 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Social Sciences 2 6%
Computer Science 1 3%
Other 3 9%
Unknown 12 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 August 2023.
All research outputs
#2,061,384
of 24,208,207 outputs
Outputs from Epidemiologic Perspectives & Innovations
#5
of 35 outputs
Outputs of similar age
#10,954
of 186,754 outputs
Outputs of similar age from Epidemiologic Perspectives & Innovations
#1
of 2 outputs
Altmetric has tracked 24,208,207 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 35 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one scored the same or higher as 30 of them.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 186,754 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them